Hardware

Accurate yet Efficient Stochastic Computing Neural Acceleration with High Precision Residual Fusion
Yixuan Hu, Tengyu Zhang, Renjie Wei, Meng Li, Runsheng Wang, Yuan Wang, Ru Huang
Paper
READ: Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction
Zuodong Zhang, Meng Li, Yibo Lin, Runsheng Wang, Ru Huang
Paper
DNA: Differentiable Network-Accelerator Co-Search
Powerful yet complex deep neural networks (DNNs) have fueled a booming demand for efficient DNN solutions to bring DNN-powered …
Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin
Paper
Improving efficiency in neural network accelerator using operands hamming distance optimization
Neural network accelerator is a key enabler for the on-device AI inference, for which energy efficiency is an important metric. The …
Meng Li, Yilei Li, Vikas Chandra
Paper
Co-exploration of neural architectures and heterogeneous asic accelerator designs targeting multiple tasks
Neural architecture search (NAS) has shown great promise in designing state-of-the-art (SOTA) models that are both accurate and …
Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
Paper
A Synergistic Framework for Hardware IP Privacy and Integrity Protection
Publised by Springer, UT Austin Margarida Jacome Outstanding Dis- sertation Prize, EDAA Outstanding Dissertation Award, ACM Student Research Competition Grand Final First Place
Meng Li, David Z. Pan
Paper
A Practical Split Manufacturing Framework for Trojan Prevention via Simultaneous Wire Lifting and Cell Insertion
The advancing of reverse engineering techniques has complicated the efforts in intellectual property protection. Proactive methods have …
Meng Li, Bei Yu, Yibo Lin, Xiaoqing Xu, Wuxi Li, David Z. Pan
Paper
A Practical Split Manufacturing Framework for Trojan Prevention via Simultaneous Wire Lifting and Cell Insertion
Neural network accelerator is a key enabler for the on-device AI inference, for which energy efficiency is an important metric. The …
Meng Li, Bei Yu, Yibo Lin, Xiaoqing Xu, Wuxi Li, David Z. Pan
Paper
Provably secure camouflaging strategy for IC protection
The advancing of reverse engineering techniques has complicated the efforts in intellectual property protection. Proactive methods have …
Meng Li, Kaveh Shamsi, Travis Meade, Zheng Zhao, Bei Yu, Yier Jin, David Z Pan
Paper
Provably secure camouflaging strategy for IC protection
The advancing of reverse engineering techniques has complicated the efforts in intellectual property protection. Proactive methods have …
Meng Li, Kaveh Shamsi, Travis Meade, Zheng Zhao, Bei Yu, Yier Jin, David Z Pan
Paper